Evidence map›Paper›PMID 27829453›Full record

ArticleBMC medical informatics and decision making2016

Measuring the operational impact of digitized hospital records: a mixed methods study.

Philip J Scott, Paul J Curley, Paul B Williams, Ian P Linehan, Steven H Shaha

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 2 countries.

Philip J ScottCentre for Healthcare Modelling and Informatics, University of Portsmouth, Buckingham Building, Lion Terrace, Portsmouth, PO1 3HE, UK. Philip.scott@port.ac.uk.
Paul J CurleyThe Mid Yorkshire Hospitals NHS Trust, Pinderfields Hospital, Aberford Road, Wakefield, WF1 4DG, UK.
Paul B WilliamsEDM Project Manager, Royal Brompton and Harefield NHS Foundation Trust, Sydney Street, London, SW3 6NP, UK.
Ian P LinehanBasildon and Thurrock University Hospitals NHS Foundation Trust, Nethermayne, Basildon, Essex, SS16 5NL, UK.
Steven H ShahaCenter for Public Policy and Administration, University of Utah, Salt Lake City, UT, 84112, USA.
Basildon and Thurrock University Hospitals NHS Foundation Trust · GBPinderfields Hospital · GBRoyal Brompton & Harefield NHS Foundation Trust · GBUniversity of Portsmouth · GBUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigitized (scanned) medical records have been seen as a means for hospitals to reduce costs and improve access to records. However, clinical usability of digitized records can potentially have negative effects on productivity.

methodsData were collected during follow-up outpatient consultations in two NHS hospitals by non-clinical observers using a work sampling approach in which pre-defined categories of clinician time usage were specified. Quantitative data was analysed using two-way ANOVA models and the Mann-Whitney U test. A focus group was held with clinicians to qualitatively explore their experiences using digitized medical records. The quantitative and qualitative results were synthesized.

resultsFour hundred six consultations were observed. Using paper records, there was a significant difference in consultation times between hospitals (p = 0.016) and a significant difference in consultation times between specialties within hospitals (p = 0.003). Using digitized records there was a significant difference in consultation times between specialties within a hospital (p = 0.001). Excluding outliers, there was no significant difference between consultation times using digitized records compared with consultations using paper records in the same hospital, either at site (p > =0.285) or specialty level (p > =0.122). With digitized records at site A, two out of three specialties showed a significant increase in time spent searching computer records (p < =0.010, Δ = 01:50-07:10) and one specialty had a corresponding reduction in time spent searching paper records (p = 0.015, Δ = -00:28). Site B showed a notable increase in direct patient care (p < 0.001, Δ = 04:20-06:00) and time spent searching computer records (p < =0.043, Δ = 00:10-01:40) and reductions in the other time categories. The focus group confirmed that the most recent clinical letter was a vital document in the patient record, often containing most of the required information. Concerns were expressed about consistency of scanning practice, causing uncertainty about what could be relied upon to exist in the digitized record. Benefits of digitized records included: access from multiple locations, better prepared ward rounds, improved inpatient handovers and an improved timeline of patient events. Limitations of digitized records included: increased complexity of creating a patient summary, display of specialised content such as hand-drawn diagrams, inability to quickly flick through the pages to find relevant content.

conclusionsDigitized medical records can be implemented without detrimental operational impact. Inherent differences between specialties can outweigh the differences between paper and digitized records. Clear and consistent operational processes are vital for the reliability and usability of digitized medical records. Divergent views about usability (such as whether patient summary information is better or worse) may reflect familiarity with features of the digitized record.

Indexed as

User-Computer InterfaceEfficiency, OrganizationalHospital RecordsHumansMedical Records Systems, ComputerizedEfficiency, OrganizationalElectronic health recordsMedical recordsUser-Computer Interface

Identifiers

PMID27829453
PMCPMC5103462
OpenAlexW2549763405

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.